基于lucene的案例开发：查询语句创建PackQuery

时间：2015-07-25 16:35:03 阅读：141 评论：0 收藏：0 [点我收藏+]

标签：

转载请注明出处：http://blog.csdn.net/xiaojimanman/article/details/44656141

http://www.llwjy.com/blogdetail/162e5e70516d7ddfb6df8f77e6b13a2b.html

个人博客站已经上线了，网址 www.llwjy.com ~欢迎各位吐槽

-----------------------------------------------------------------------------------------------------------

在之前的《基于lucene的案例开发：Query查询》这篇博客中对实际开发过程中比较常见的Query做了简单的介绍，这里就介绍下具体的代码实现。查看最新代码点击这里或访问 http://www.llwjy.com/source/com.lulei.lucene.query.PackQuery.html

/**
*@Description: 创建查询Query
*/
package com.lulei.lucene.query;
import java.io.IOException;
import java.io.StringReader;
import java.util.ArrayList;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.index.Term;
import org.apache.lucene.queryparser.classic.MultiFieldQueryParser;
import org.apache.lucene.queryparser.classic.ParseException;
import org.apache.lucene.queryparser.classic.QueryParser;
import org.apache.lucene.search.BooleanClause.Occur;
import org.apache.lucene.search.BooleanQuery;
import org.apache.lucene.search.NumericRangeQuery;
import org.apache.lucene.search.PhraseQuery;
import org.apache.lucene.search.PrefixQuery;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TermRangeQuery;
import org.apache.lucene.search.WildcardQuery;
import org.apache.lucene.util.Version;
import com.lulei.lucene.index.manager.IndexManager;
public class PackQuery {
//分词器
private Analyzer analyzer;
//使用索引中的分词器
public PackQuery(String indexName) {
analyzer = IndexManager.getIndexManager(indexName).getAnalyzer();
}
//使用自定义分词器
public PackQuery(Analyzer analyzer) {
this.analyzer = analyzer;
}
/**
* @param key
* @param fields
* @return Query
* @throws ParseException
* @Author: lulei
* @Description: 查询字符串匹配多个查询域
*/
public Query getMultiFieldQuery(String key, String[] fields) throws ParseException{
MultiFieldQueryParser parse = new MultiFieldQueryParser(Version.LUCENE_43, fields, analyzer);
Query query = null;
query = parse.parse(key);
return query;
}
/**
* @param key
* @param field
* @return Query
* @throws ParseException
* @Author: lulei
* @Description: 查询字符串匹配单个查询域
*/
public Query getOneFieldQuery(String key, String field) throws ParseException{
if (key == null || key.length() < 1){
return null;
}
QueryParser parse = new QueryParser(Version.LUCENE_43, field, analyzer);
Query query = null;
query = parse.parse(key);
return query;
}
/**
* @param key
* @param fields
* @param occur
* @return Query
* @throws IOException
* @Author: lulei
* @Description: 查询字符串、多个查询域以及查询域在查询语句中的关系
*/
public Query getBooleanQuery(String key, String[] fields, Occur[] occur) throws IOException{
if (fields.length != occur.length){
System.out.println("fields.length isn‘t equals occur.length, please check params!");
return null;
}
BooleanQuery query = new BooleanQuery();
TokenStream tokenStream = analyzer.tokenStream("", new StringReader(key));
ArrayList<String> analyzerKeys = new ArrayList<String>();
while(tokenStream.incrementToken()){
CharTermAttribute term = tokenStream.getAttribute(CharTermAttribute.class);
analyzerKeys.add(term.toString());
}
for(int i = 0; i < fields.length; i++){
BooleanQuery queryField = new BooleanQuery();
for(String analyzerKey : analyzerKeys){
TermQuery termQuery = new TermQuery(new Term(fields[i], analyzerKey));
queryField.add(termQuery, Occur.SHOULD);
}
query.add(queryField, occur[i]);
}
return query;
}
/**
* @param querys
* @param occur
* @return Query
* @Author: lulei
* @Description: 组合多个查询，之间的关系由occur确定
*/
public Query getBooleanQuery(ArrayList<Query> querys, ArrayList<Occur> occurs){
if (querys.size() != occurs.size()){
System.out.println("querys.size() isn‘t equals occurs.size(), please check params!");
return null;
}
BooleanQuery query = new BooleanQuery();
for (int i = 0; i < querys.size(); i++){
query.add(querys.get(i), occurs.get(i));
}
return query;
}
/**
* @param fieldName
* @param value
* @return
* @Author: lulei
* @Description: StringField属性的搜索
*/
public Query getStringFieldQuery(String value, String fieldName){
Query query = null;
query = new TermQuery(new Term(fieldName, value));
return query;
}
/**
* @param fields
* @param values
* @return
* @Author: lulei
* @Description: 多个StringField属性的搜索
*/
public Query getStringFieldQuery(String[] values, String[] fields, Occur occur){
if (fields == null || values == null || fields.length != values.length){
return null;
}
ArrayList<Query> querys = new ArrayList<Query>();
ArrayList<Occur> occurs = new ArrayList<Occur>();
for (int i = 0; i < fields.length; i++){
querys.add(getStringFieldQuery(values[i], fields[i]));
occurs.add(occur);
}
return getBooleanQuery(querys, occurs);
}
/**
* @param key
* @param field
* @param lucene43
* @return
* @throws ParseException
* @Author: lulei
* @Description: 查询字符串和单个查询域 QueryParser是否使用4.3
*/
public Query getOneFieldQuery(String key, String field, boolean lucene43) throws ParseException{
if (key == null || key.length() < 1){
return null;
}
if (lucene43){
return getOneFieldQuery(key, field);
}
@SuppressWarnings("deprecation")
QueryParser parse = new QueryParser(Version.LUCENE_30, field, analyzer);
Query query = null;
query = parse.parse(key);
return query;
}
/**
* @param key
* @param field
* @Author: lulei
* @Description: key开头的查询字符串，和单个域匹配
*/
public Query getStartQuery(String key, String field) {
if (key == null || key.length() < 1){
return null;
}
Query query = new PrefixQuery(new Term(field, key));
return query;
}
/**
* @param key
* @param fields
* @param occur
* @Author: lulei
* @Description: key开头的查询字符串，和多个域匹配，每个域之间的关系由occur确定
*/
public Query getStartQuery(String key, String []fields, Occur occur){
if (key == null || key.length() < 1){
return null;
}
ArrayList<Query> querys = new ArrayList<Query>();
ArrayList<Occur> occurs = new ArrayList<Occur>();
for (String field : fields) {
querys.add(getStartQuery(key, field));
occurs.add(occur);
}
return getBooleanQuery(querys, occurs);
}
/**
* @param key
* @param fields
* @Author: lulei
* @Description: key开头的查询字符串，和多个域匹配，每个域之间的关系Occur.SHOULD
*/
public Query getStartQuery(String key, String []fields) {
return getStartQuery(key, fields, Occur.SHOULD);
}
/**
* @param key
* @param field
* @param slop
* @return
* @Author:lulei
* @Description: 自定每个词元之间的最大距离
*/
public Query getPhraseQuery(String key, String field, int slop) {
if (key == null || key.length() < 1){
return null;
}
StringReader reader = new StringReader(key);
PhraseQuery query = new PhraseQuery();
query.setSlop(slop);
try {
TokenStream tokenStream = this.analyzer.tokenStream(field, reader);
tokenStream.reset();
CharTermAttribute term = tokenStream.getAttribute(CharTermAttribute.class);
while(tokenStream.incrementToken()){
query.add(new Term(field, term.toString()));
}
reader.close();
} catch (IOException e) {
e.printStackTrace();
return null;
}
return query;
}
/**
* @param key
* @param fields
* @param slop
* @param occur
* @return
* @Author:lulei
* @Description: 自定每个词元之间的最大距离，查询多个域，每个域之间的关系由occur确定
*/
public Query getPhraseQuery(String key, String[] fields, int slop, Occur occur) {
if (key == null || key.length() < 1){
return null;
}
ArrayList<Query> querys = new ArrayList<Query>();
ArrayList<Occur> occurs = new ArrayList<Occur>();
for (String field : fields) {
querys.add(getPhraseQuery(key, field, slop));
occurs.add(occur);
}
return getBooleanQuery(querys, occurs);
}
/**
* @param key
* @param fields
* @param slop
* @return
* @Author:lulei
* @Description: 自定每个词元之间的最大距离，查询多个域，每个域之间的关系是Occur.SHOULD
*/
public Query getPhraseQuery(String key, String[] fields, int slop) {
return getPhraseQuery(key, fields, slop, Occur.SHOULD);
}
/**
* @param key
* @param field
* @return
* @Author:lulei
* @Description: 通配符检索 eg:getWildcardQuery("a*thor", "field")
*/
public Query getWildcardQuery(String key, String field) {
if (key == null || key.length() < 1){
return null;
}
return new WildcardQuery(new Term(field, key));
}
/**
* @param key
* @param fields
* @param occur
* @return
* @Author:lulei
* @Description: 通配符检索，域之间的关系为occur
*/
public Query getWildcardQuery(String key, String[] fields, Occur occur) {
if (key == null || key.length() < 1){
return null;
}
ArrayList<Query> querys = new ArrayList<Query>();
ArrayList<Occur> occurs = new ArrayList<Occur>();
for (String field : fields) {
querys.add(getWildcardQuery(key, field));
occurs.add(occur);
}
return getBooleanQuery(querys, occurs);
}
/**
* @param key
* @param fields
* @return
* @Author:lulei
* @Description: 通配符检索，域之间的关系为Occur.SHOULD
*/
public Query getWildcardQuery(String key, String[] fields) {
return getWildcardQuery(key, fields, Occur.SHOULD);
}
/**
* @param keyStart
* @param keyEnd
* @param field
* @param includeStart
* @param includeEnd
* @return
* @Author:lulei
* @Description: 范围搜索
*/
public Query getRangeQuery (String keyStart, String keyEnd, String field, boolean includeStart, boolean includeEnd) {
return TermRangeQuery.newStringRange(field, keyStart, keyEnd, includeStart, includeEnd);
}
/**
* @param min
* @param max
* @param field
* @param includeMin
* @param includeMax
* @return
* @Author:lulei
* @Description: 范围搜索
*/
public Query getRangeQuery (int min, int max, String field, boolean includeMin, boolean includeMax) {
return NumericRangeQuery.newIntRange(field, min, max, includeMin, includeMax);
}
/**
* @param min
* @param max
* @param field
* @param includeMin
* @param includeMax
* @return
* @Author:lulei
* @Description: 范围搜索
*/
public Query getRangeQuery (float min, float max, String field, boolean includeMin, boolean includeMax) {
return NumericRangeQuery.newFloatRange(field, min, max, includeMin, includeMax);
}
/**
* @param min
* @param max
* @param field
* @param includeMin
* @param includeMax
* @return
* @Author:lulei
* @Description: 范围搜索
*/
public Query getRangeQuery (double min, double max, String field, boolean includeMin, boolean includeMax) {
return NumericRangeQuery.newDoubleRange(field, min, max, includeMin, includeMax);
}
public static void main(String[] args) throws IOException {
}
}

PackQuery类的构造方法，可以手动指定分词器也可以使用索引的分词器。个人建议，在项目中使用索引中的分词器，这样就不会因为分词器的不同造成不知名的错误。

基于lucene的案例开发：查询语句创建PackQuery

标签：

原文地址：http://www.cnblogs.com/likeju/p/4676029.html

踩

(0)

评论一句话评论（0）

分享档案

更多>

2021年07月29日 (22)
2021年07月28日 (40)
2021年07月27日 (32)
2021年07月26日 (79)
2021年07月23日 (29)
2021年07月22日 (30)
2021年07月21日 (42)
2021年07月20日 (16)
2021年07月19日 (90)
2021年07月16日 (35)

周排行